COMP2132 - 01 - Practical Machine Learning

This course provides an introduction to Artificial Intelligence (AI), Deep Learning, and Machine Learning (ML). A survey of multiple AI techniques, focusing heavily on ML. Students will learn about the different concepts behind each technique, experiment with interactive demonstrations, assess them for equity and bias, and apply them in their assignments. Techniques may be updated as the fast-moving field of machine learning evolves. This course does not go into extreme depth on ML theory, instead focusing on how to use these techniques to solve problems. The goal of this course is for students to understand what Machine Learning is and is not, and have a "utility belt" of skills and conceptual understanding to allow them to identify a problem, choose an AI technique, and apply it effectively.